Accelerate Adoption of Remote Care to Dramatically Reduce Costs

There are many challenges to the long-term viability of our healthcare systems. An increasingly older and growing population demanding care amid a shortage of qualified personnel. A shift from infectious to more costly chronic disease management. An evolving policy and regulatory landscape. How can these challenges of cost, quality, and access be addressed?

Providers are increasingly turning to remote care for the answer. The potential of remote care is well documented: It can reduce hospital admissions by as much as 40% while cutting U.S. employer healthcare costs by as much as $ 6 billion annually.

The benefits seem intuitive enough. By moving healthcare delivery beyond the hospital or clinic and closer to patients, providers can engage more frequently and gather data continuously. This allows them to design better and more proactive and personalized treatments without unnecessary and costly office visits or hospital admissions. And it enables patients to participate more in managing their own health to make smarter decisions that can improve their quality of life.

So why is remote care delivery still not ubiquitous? While its use is increasing, widespread adoption still faces barriers. Foremost among them are security and privacy concerns, integration with existing workflows and technology, and solution flexibility that doesn’t sacrifice reliability and predictability.

But now there’s a new solution that can help address these concerns and help usher in a new generation of remote patient care.

Introducing the Intel Health Application Platform—software that, when coupled with an Intel-architecture-based design specification implemented by a third-party hardware vendor such as Flex, can help enable healthcare solution providers to securely and reliably deliver distributed healthcare services across an always-connected and ever-expanding healthcare edge and to any cloud.

When combined with a third-party hardware design, the Intel Health Application Platform can empower the healthcare industry to develop novel and exciting products and services that require enterprise-grade stability, security, and longevity. All while lowering TCO and delivering better user experiences. Once developed and deployed by healthcare solution providers, these solutions can give care providers access to a new breed of flexible yet robust solutions that can help them provide more informed and proactive diagnoses and treatments.

Intel is helping enable smarter approaches to healthcare delivery at the edge and a new standard for remote patient care.

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Using Data to Create Personalized Experiences for a Better Bottom Line

The Need for Personalization

Today’s retail landscape is more competitive than ever. Brands have to rely and work with not only brick-and-mortar chains, but with websites around the world, many of which operate on thinner margins. Brands that are trying to break through are facing an increasingly difficult disrupted marketplace, where new competitors seem to appear almost every day.

Meanwhile, an array of new technologies enable brands to deliver personalized experiences to millions of individual customers in real time. Analytics, both on the web and in-store, provide detailed insights on customers’ interests and purchase patterns, along with increasingly accurate predictions about what they’re likely to buy next month. Brands and retailers are leveraging this data to streamline their sales funnels, achieving greater efficiently every year.

In this increasingly competitive marketplace, personalized customer experiences are no longer just a nice bonus. They’re the only thing preventing your customers from switching to another brand that seems to understand them better. With a tremendous amount of money being spent getting foot traffic in stores, personalized experiences can be used to point consumers towards desired products, in hopes of making a sale. Here’s how visual experiences can enable more engaging experiences, more empowered sales teams, and an improved bottom line for your brand.

A person looks at a mirror.

Personalized, connected, data smart experiences

Data comes from a wide range of sources – and ideally, you should be gathering it from all your store’s touchpoints. Interactions on the web, on mobile, and in brick-and-mortar stores can all combine to create customer insights you’d never have gotten from any single source. Add in volunteered data from loyalty programs, and you’ve got all the resources you need to build robust, 360-degree view of your store.

These deep customer insights enable you to deliver more tailored advertising, orchestrating continuously improved customer journeys that span all digital and physical touchpoints. Instead of showing all your customers the same ads, you’ll be able to show offers related to their individual tastes and preferences – both on the web and in your stores. This kind of interactive signage gets more than twice the engagement rate of social media and 24 percent more dwell time than Google’s benchmark.

Beyond advertising, these robust customer insights will enable you to provide best-in-class sales tools to your employees. The latest generation of in store technologies are helping sales associates get to know their customers via opt-in loyalty programs, allowing them to greet customers by name, purchase anywhere, make recommendations to customers, anticipate customer demand and optimize supply chain to meet demand.

With more informed salespeople comes faster, more streamlined, and personalized service. When your customers feel empowered to begin the purchase process on their own devices – and your sales staff can pick up and complete that process at the point of conversion – you’ll see shorter lines, faster checkouts, and smoother flow of foot traffic throughout your store. Since employees will be able to concentrate more on personal customer service, customers will leave happier than ever.


Raising your bottom line

Longer dwell time and shorter lines are all well and good – but how do all these changes perform in terms of return on investment (ROI)? Strikingly well, in fact. Personalized experiences have been shown to contribute to increased revenue and reduced loss in a variety of complementary ways.

Digital signage can also pick up on trends, demographics, patterns, and provide detailed analytics, allowing retailers to better decide how to promote certain items. With this data, retailers can better decide how to spend their advertising dollars. This creates targeted content that has a much better chance at effectively reaching the consumer, ultimately leading to a sale. This can all be done in real time, allowing retailers to minimize waste and spend money when and where it counts.

Personalized experiences are powerful tools for transforming unique spaces into new revenue streams. You could even transform your parking lots into showcases where customers can interact with personalized displays which can help draw them into your store. This may lead to new opportunities in capturing revenue by using these spaces to place digital signage, capture ad revenue and target an untapped audience.

Messaging at the right time is also crucial. Most customers perform their own product research, both at home and in-store. But when shopping in a store, a full 90 percent of shoppers make at least one impulse purchase per trip – often driven by ads or reviews they see on digital signs while at the store.

The more data you’re able to bring together from all channels, the more personalized experiences you’ll be able to serve up at the exact moment when each customer is most likely to consider a purchase. And along the way, your interactive displays will be gathering even more data on your customers’ preferences and behavior, so you can create more targeted, effective outreach, leading to a positive impact on the bottom line.

Visit to learn more about how Intel technology is shaping the future of responsive retail. To stay informed about Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit and Twitter.


Illuminating New Business Opportunities with Smart Lighting

Now that most people live in cities, urban areas are the de facto laboratories of the future.

Cities drive innovation because of their swelling populations, professional networks, and perhaps most important, the richness of data they offer. Information is everywhere, and the challenge is how everyday activities can be captured and translated into actionable insights. City planners and technologists have long grappled with the tricky issue of rolling out data-collection systems across an entire metropolis.

Recently, however, we’ve achieved a major breakthrough. CityIQ intelligent nodes, the product of collaboration between General Electric and Intel, transform simple streetlights into powerful data collection terminals. These are already capable of amassing a wide range of information by attaching cameras, sensors, and microphones to ordinary streetlights.

We know that the CityIQ intelligent nodes can collect a wide variety of information, providing hyperlocal seismic detection, weather monitoring, emergency response, gunshot detection, and traffic monitoring. But we’ve only scratched the surface of what these systems can do.

Smart streetlight sensors.

San Diego, already a pioneer in smart streetlighting with plans to build the largest known urban sensor program in the world, is exploring how the creativity of citizens can realize even more value from this powerful new technology. Co-sponsored by Intel, the San Diego Smart City Hackathon in June tasked entrepreneurs and developers with concepting new applications to take advantage of streetlight data, drawing on real CityIQ datasets and GE Intelligent Cities APIs.

The first-place team put forward an app to help aspiring small business owners find the most suitable store locations. The other top teams also had ingenious ideas: The second-place team proposed an app to identify and report drunk drivers; the third-place team suggested an app to optimize parking.

Intel and GE supported this and other hackathons, such as the recent Minds + Machines event in Berlin, to support data sharing. Bringing cities online will support entire ecosystems of innovation, opening the door for new businesses. An investment in streetlight systems pays dividends by increasing economic activity. The upside is mind-boggling: A 2014 study by consulting firm Frost & Sullivan estimated that smart cities will be worth $ 1.6 trillion by 2020.

As more information is collected by smart streetlights, it’s critical the data is secure. That’s why the systems use Intel’s edge processing technology and GE’s Predix platform protects data as it moves from the streetlamp to the cloud. Intel’s security-focused hardware ensures that all data is safely stored, processed, aggregated, and transmitted. The Predix operating system is already being used in other high-security networks, such as nuclear power plants and healthcare facilities.

Cities grow organically, each according to its own unique character. While the smart lighting systems stem from something universal–the need for safe, bright public spaces–there is no roadmap for where they might lead us. Instead, they open innumerable possibilities for smart cities around the globe. Armed with data, we can start building the cities we’ve always dreamed of.


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Future of Brick and Mortar Begins With Responsive Retail: 7 Questions With JDA

We recently had the pleasure of sitting down with JDA Software GVP Product Strategy Todd McCourtie to discuss the future of brick-and-mortar stores. Successful retailing comes down to one thing: getting the right product into shoppers’ hands. That may sound simple, but success requires inventory accuracy, efficient sales associates and the flexibility to quickly adapt to shoppers’ needs in near-real time. That said, thanks to today’s emerging retail technology solutions I’m convinced that the retail industry’s future has never looked brighter! –Stacey Shulman

A picture of clothes on hangers.

Q: To start off, what are some of the challenges you see brick-and-mortar retailers facing that technology solutions can help solve?

A: Today’s retailers are looking for answers to the same questions that have always challenged the retail industry. How do I manage my inventory? How do I deliver a great customer experience? Moreover, how do I optimize my workforce for maximum results? Technology can help here, but what has really emerged is that as some retailers have tried to solve these challenges they’ve ended up cobbling together islands of technology. So it’s been very difficult for them to get that full 360-degree view of the store that leads to actionable results. I think that’s where we see opportunities emerging through technology solutions that can seamlessly support retailers with their immediate problem, which is how can they make sure they’ve got their inventories in the right place in the store.


Q: Can you talk a bit about how improving inventory management can solve several retail issues at once?

A: There’s a couple things. First, it’s not just a missed sale if the inventory is not in its place, but it affects the customer experience. Whether a retailer offers an inviting and easy-to-understand sales process is completely irrelevant if the product isn’t on the shelf. So, to me, that’s where it starts. If retailers have inventory visibility they can start to do localization because they’re seeing the real-time demand. A great example that focuses on localization is the question of why do sweaters arrive at Phoenix, Arizona, stores in May? It makes absolutely no sense. If near-real-time inventory management solutions are in place, then retailers have insights into the buying habits of individual stores and communities. They can then instantly replenish inventory, or not, based on the demands they’re getting from the store.


Q: How are JDA and Intel technology solutions uniquely positioned to address the localized inventory management solutions you mentioned?

A: I was hoping you’d ask! I’m excited to share that JDA and Intel have teamed up to offer retailers an intelligent technology solution to help manage and overcome age-old business challenges: the JDA Store Optimizer, supported by the Intel Responsive Retail Sensor. It tracks inventory accurately, so you always know where items are located and how many are in stock while also automatically updating store associates’ tasks. Having near-real-time inventory data makes it easy to run lean, save time and money and replenish products as needed with little risk of shortages, overstocking or preventable returns. The JDA Store Optimizer then uses this precise inventory data to automatically identify, prioritize and assign tasks that sales associates need to carry out to optimize operational efficiency, while freeing the store manager to spend more time making decisions that will improve store performance and increase revenue.

To put it simply, we know the future of retail because we’re building it with Intel. So we see the problems of today and both companies see what we need to do to solve them, but with an eye to the future.


Q: Data security is a hot topic these days. How is that being addressed with this retail technology solution?

A: When we deal with privacy, we always talked about opt-in [being] enabled right into the platform. From an application provider perspective, the core platform is built from the ground up with security in mind. We also want to make sure that data can be isolated per application, so that if a retailer has their specific set of data they’re bringing, it’s only for them and they know they can trust that verified data. So, that kind of end-to-end security is built in from the ground up. Then there’s end-to-end data encryption, as well, to help guarantee the security and privacy of the data.


Q: What about privacy? How is that being addressed with this solution?

A: From my perspective, privacy is very personal. Some people are completely OK with giving that away; other people are very guarded about it. Only 43 percent of shoppers say they are comfortable giving up personal data to a retailer — even if it is to improve their shopping experience. This is a relevant and prescient issue to retailers today. And so, when we’ve tried to approach it, we’ve said there needs to be a way to opt in; a loyalty program is a great way to do that, for example.


Q: Can you give us an example of some of the early results you’re seeing from a retailer that has piloted the JDA Store Optimizer?

A: I certainly can. We’re working with a specialty retailer in North America and are excited to see that we’re getting enormous response. I just received an email stating how pleased the associates are in that environment because they’re able to spend more time focusing on relevant customer engagement and that’s great news for us to hear. We know that this is so important from data that we have about customer behavior. Most consumers say that they want associates who are more knowledgeable and will leave a store empty-handed if they do not get the right person with knowledge to help them with purchasing products. A recent study shows that two in three shoppers who tried to find information within a store say they did not find all the information they needed; when they were unable to find the complete information, 43 percent of customers left the store frustrated; 22 percent said they were less likely to buy from that retailer and 41 percent more likely to shop elsewhere. It is so important to have engaged, knowledgeable and able sales associates and the JDA Store Optimizer enables sales associates to get back to the business of being available to customers rather than just running around the store in search of inventory.


Q: How do you see artificial intelligence coming to bear and being a part of this platform in the future?

A: Artificial intelligence can help us precisely because we don’t live in a static world. If store shelves were always perfectly stocked and arranged then we probably wouldn’t have much of a need for it. But we live in reality. People buy things so the stock is changing constantly. Things are shuffled as people look at them. Customer behavior enables an opportunity to use pattern matching and artificial intelligence to really go look at those environments and say, hey, these events have happened where there’s a $ 5 item covering a $ 100 item that was really supposed to be on display; let’s have an associate go fix that to give me insight into the ROI of an endcap. Was it actually stocked properly? Did people interact with it? I think we can learn over time, make it much better and make that store truly responsive. In a way, the store itself is learning. The platform helps the store learn so it can keep up in near-real time with the changes that are happening in consumer behavior and the retail environment. Moreover, there’s no lag time. You’re not being caught unaware.

Visit to learn more about how Intel technology is shaping the future of responsive retail. To stay informed about Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit and Twitter.

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Facial Recognition and AI Helping Customize Retail Experiences

When shopping online, today’s customers want all the personalization of an in-store experience. And when they walk into a brick-and-mortar store, they want continuity from this online experience, based on the choices they made across all other touchpoints.

Savvy retailers have met these expectations by pulling in incredible amounts of data for highly personalized cross-channel offerings. Online, they’re performing advanced real-time analytics on customer behavior to deliver digital experiences tailored around customers’ interests and needs. In store, they’re using cutting-edge software to understand who’s looking at displays, and to engage, entice, interact and motivate action.

This level of personalization uses artificial intelligence (AI) for facial analytics. It is an essential tool for any retailer who aims to keep up with the changing expectations of digital consumers and find more effective ways to generate revenue. Here’s how the power of AI and facial recognition enable a deeper understanding of customers and provide more personalized experiences.

Two humans look at a tablet.

What visual experiences do

The goal of in-store personalization is to deliver experiences that are as individually tailored as those online. While this might sound like a tall order, the truth is that the latest digital displays can collect analytics and deliver content just as precise as those of any web platform.

Only 13 percent of in-store eye fixations are on signage, and the average shopper looks at signage for only three-tenths of a second. Less than half of those people can remember what they saw on the signs. In short, it’s not what you look at, but what you see, that’s really crucial — and a very effective way to ensure that shoppers see a display is to provide them with targeted content.

It all starts with deep insights about consumers. These can come from digital touchpoints, from in-store analytics or, ideally, from a combination of data from all channels. Taken together this data can reveal trends and deeper customer insights — for example, 50 percent more shoppers engage with alcohol brands on Tuesdays rather than on Thursdays, and they’re two times more likely to browse frozen foods on a Wednesday afternoon. This leads to a better understanding of the customer, greater data personalization, insight and a better overall customer experience.

When you connect online and offline data to arrive at these kinds of insights, you’ll deliver more personalized experiences and establish loyalty for your brand. The next step is to leverage AI to reach the shopper.

AI in retail experience

The latest data shows that interactive digital signage gets more than twice the engagement rate of top social networks. It also gets a dwell time that’s 24 percent higher than Google benchmark data for online rich media. But not all interactive signage gets these impressive results. To really activate the power of this channel, you’ve got to use it to learn about customers — then deliver personalized, customized content that connects with them at the right time.

Many retailers are scrambling to increase personalized experiences and are calling on companies with proven results that offer groundbreaking retail technology, specializing in driving brand and consumer engagement. One of the most powerful tools for in-store personalization is facial facial detection . This technology can play visually interesting content for individual customers, based on past purchases. But that’s only the beginning.

Digital and interactive displays go far beyond facial detection — they can recognize returning customers’ emotions, demographic information, shopping time, location and more. These cognitive analytics enable the display to engage in a real-time feedback loop with the customer, refining its messaging in response to the shopper’s reactions, in order to reach the right consumers with even more precise messaging in the future.

The results speak for themselves. Using a combination of facial recognition, emotion detection and advertising refinement raised the average dwell time per display to an almost-unheard-of 32 seconds. Impressions and engagements also went through the roof, as more shoppers interacted with personalized displays and were far more likely to purchase following those interactions.

Some brands are beginning to go a step even further by adding object detection to their personalization strategy. This can yield even better results, and serve targeted behavior-driven messages to individual customers. All touchpoints in all stores can deliver a single, consistent experience that spans every digital touchpoint and brick-and-mortar location.

This is the level of consistency and personalization demanded by today’s shoppers. Aside from the increase in engagement and revenue, the real value is the ability to build emotional connections with your customers. This personalization is an absolute necessity in the future of retail to keep customers coming back, time and time again.

Visit to learn more about how Intel technology is shaping the future of responsive retail. To stay informed about Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit and Twitter.

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